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HBR Guide to Data Analytics Basics for Managers (HBR Guide Series)
book

HBR Guide to Data Analytics Basics for Managers (HBR Guide Series)

by Harvard Business Review
March 2018
Beginner content levelBeginner
256 pages
3h 56m
English
Harvard Business Review Press
Content preview from HBR Guide to Data Analytics Basics for Managers (HBR Guide Series)

Index

A/B testing, 59–70

blocking in, 62

defined, 60

example of, 65–67

interpretation of results, 63–64

mistakes in, 68–69

multivariate, 62–63

origin of, 60

overview of, 60–63

real-time optimization, 68

retesting, 69

sequential, 62

uses of, 64–65

Albert (artificial intelligence algorithm), 114–117

analytical models, 15, 22–23, 43, 84–85, 161, 198. See also data models

analytics-based decision making. See data-driven decisions

Anderson, Chris, 103

annual rate of return (ARR), 145, 147–148

artificial intelligence (AI), 114–117, 149–150. See also machine learning

assumptions

confirming, through visualizations, 179

in predictive analytics, 84–86

asymmetrical loss function, 105

attributes versus benefits, in marketing, 152–153

audience

data presentations ...

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Publisher Resources

ISBN: 9781633694293